Aaron Neyer

Chair Of Human Relations Commission

Boulder, Colorado, United States
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Summary

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Rockstar
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Top School
Aaron Neyer is a multidisciplinary software engineer and community leader with 13 years of experience building full-stack applications, developer tools, and cloud client libraries, including contributions to Google Cloud Python storage and Cloud Code samples. He brings a human-first developer-relations approach from his time at Google and blends that with a deep interest in living systems and regenerative practice—evident in his MA in Ecopsychology and leadership of Woven Web. Based in Boulder, he pairs pragmatic engineering (backend, test automation, data work) with civic engagement as Chair of the Human Relations Commission and a past city council candidate. Comfortable bridging product, community, and code, he’s now exploring ML/AI while helping local ecosystems connect technology to planetary and social health.
code14 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Case Western Reserve University
bookMaster of Arts - MA Ecopsychology, Master of Arts - MA Ecopsychology at Naropa University
bookMaster of Science - MS Creative Technology and Design, Master of Science - MS Creative Technology and Design at University of Colorado Boulder
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Github Skills (24)

google-cloud-platform10
pytest10
python10
java10
gcp10
google-cloud-storage10
javas10
go10
google-cloud10
golang10
nodejs10
kubernetes9
apidoc9
kubernetes-pods9
api9

Programming languages (20)

C#JavaC++CSSCRustSchemeGo

Github contributions (5)

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googleapis/python-storage

Aug 2021 - Apr 2022

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-storage
Role in this project:
userBack-end Developer & Test Automation Engineer
Contributions:53 reviews, 12 commits, 26 PRs in 8 months
Contributions summary:Aaron primarily contributed to the Google Cloud Storage Python client library. They fixed bugs, implemented features like turbo replication support, and added new samples. Key contributions include changing public access prevention behavior, adding file-like IO samples using Pandas, and incorporating features related to turbo replication. The user also improved test coverage, including tests related to resumable media uploads, and removed support for Python 3.6.
google-apigoogle-cloudgoogle-cloud-storagegoogleapispython
Code templates to make working with Kubernetes feel like editing and debugging local code.
Role in this project:
userBack-end Developer
Contributions:17 reviews, 36 commits, 17 PRs in 2 months
Contributions summary:Aaron's primary contributions involve updating and maintaining the "Hello World" cloud function examples. The commits reflect consistent merges of branches related to dependency updates (renovate branches for eslint, node, and axios), indicating active maintenance and keeping the project up-to-date with the latest versions of dependencies across multiple languages and frameworks. They primarily touched "Hello World" functions in Python, Java, Go, and Node.js to ensure these functions are compatible with the dependency updates.
code-templatesdebuggingkubernetesgclouddebugger
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